{
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  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-10-19T12:24:23.196030Z",
     "start_time": "2020-10-19T12:24:22.357711Z"
    }
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import torch\n",
    "import matplotlib.pyplot as ply\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-10-19T12:33:24.789540Z",
     "start_time": "2020-10-19T12:33:24.774871Z"
    }
   },
   "outputs": [],
   "source": [
    "from torch.utils.data import Dataset,DataLoader\n",
    "\n",
    "class DiabeteaDataset(Dataset):\n",
    "    def __init__(self):\n",
    "        pass\n",
    "    def __getitem__(self,index):\n",
    "        pass\n",
    "    def __len__(self):\n",
    "        pass\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset=DiabeteaDataset()\n",
    "train_loader=DataLoader(dataset=dataset,batch_size=32,\n",
    "                       shuffle=True,num_workers=2)"
   ]
  }
 ],
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